GroupBy.min()

GroupBy.tail(n=5)

GroupBy.count()

DataFrameGroupBy.ffill(limit=None)

DataFrameGroupBy.cumprod(axis=0, *args, **kwargs)

GroupBy.__iter__()

DataFrameGroupBy.all(axis=None, bool_only=None, skipna=None, level=None, **kwargs) Return whether all

DataFrameGroupBy.cummin(axis=None, skipna=True, *args, **kwargs) Return cumulative minimum over requested

class pandas.Grouper(key=None, level=None, freq=None, axis=0, sort=False)

DataFrameGroupBy.corr(method='pearson', min_periods=1) Compute pairwise correlation of columns, excluding